中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [9]
自动化研究所 [2]
青藏高原研究所 [1]
昆明植物研究所 [1]
采集方式
OAI收割 [13]
内容类型
期刊论文 [11]
SCI/SSCI论文 [2]
发表日期
2024 [2]
2023 [2]
2022 [1]
2021 [2]
2019 [3]
2016 [1]
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学科主题
地理学::自然地理学 [1]
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Water consumption and biodiversity: Responses to global emergency events
期刊论文
OAI收割
SCIENCE BULLETIN, 2024, 卷号: 69, 期号: 16, 页码: 2632-2646
作者:
Zhao, Dandan
;
Liu, Junguo
;
Sun, Laixiang
;
Hubacek, Klaus
;
Pfister, Stephan
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/11/28
China
Global emergency events
Water-biodiversity causal effect
COVID-19
Biodiversity
MRIO-enhanced DPSIR framework
Supply-chain network
High-resolution water consumption dataset
Supply-constrained multi-regional input-
Assessing the Accuracy and Consistency of Cropland Products in the Middle Yangtze Plain
期刊论文
OAI收割
LAND, 2024, 卷号: 13, 期号: 3, 页码: 14
作者:
Xu, Haixia
;
Jiang, Luguang
;
Liu, Ye
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/05/06
cropland distribution
Middle Yangtze Plain
GLAD (Global Land Analysis & Discovery)
AGLC (Annual Global Land Cover)
CLCD (China Land Cover Dataset)
CACD (China's Annual Cropland Dataset)
Are there suitable global datasets for monitoring of land use and land cover in the tropics? Evidences from mainland Southeast Asia
期刊论文
OAI收割
GLOBAL AND PLANETARY CHANGE, 2023, 卷号: 229, 页码: 14
作者:
Zhai, Jiahao
;
Xiao, Chiwei
;
Feng, Zhiming
;
Liu, Ying
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/11/29
Global land use and land cover dataset
Remote sensing mapping
Consistency analysis
Forest loss
Accuracy assessment
Mainland Southeast Asia
Global Instance Tracking: Locating Target More Like Humans
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 1, 页码: 576-592
作者:
Hu, Shiyu
;
Zhao, Xin
;
Huang, Lianghua
;
Huang, Kaiqi
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2023/02/22
Global instance tracking
single object tracking
benchmark dataset
performance evaluation
human tracking ability
Global Mask R-CNN for marine ship instance segmentation
期刊论文
OAI收割
NEUROCOMPUTING, 2022, 卷号: 480, 页码: 257-270
作者:
Sun, Yuxin
;
Su, Li
;
Luo, Yongkang
;
Meng, Hao
;
Li, Wanyi
  |  
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2022/06/06
Instance segmentation
Ship dataset
Ship instance segmentation
Precise RoI Pooling
Global Mask Head
Temporal and spatial variations in the terrestrial water storage across Central Asia based on multiple satellite datasets and global hydrological models
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2021, 卷号: 596, 页码: 16
作者:
Hu, Zengyun
;
Zhang, Zizhan
;
Sang, Yan-Fang
;
Qian, Jing
;
Feng, Wei
  |  
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2021/08/19
Terrestrial water storage
Global hydrological model
GRACE satellite dataset
Partial least square regression
Central Asia
The Global Soil Mycobiome consortium dataset for boosting fungal diversity research
期刊论文
OAI收割
FUNGAL DIVERSITY, 2021, 卷号: 111, 期号: 1, 页码: 573-588
作者:
Tedersoo,Leho
;
Mikryukov,Vladimir
;
Anslan,Sten
;
Bahram,Mohammad
;
Khalid,Abdul Nasir
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2022/04/02
Soil fungi
Global dataset
PacBio sequencing
Fungal richness
IDENTIFICATION
Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region
期刊论文
OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 12, 页码: 24
作者:
Liang, Li
;
Liu, Qingsheng
;
Liu, Gaohuan
;
Li, He
;
Huang, Chong
  |  
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2019/09/24
global land cover dataset
spatial agreement
spatial variation in accuracy
Arctic
Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region
期刊论文
OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 12, 页码: 24
作者:
Liang, Li
;
Liu, Qingsheng
;
Liu, Gaohuan
;
Li, He
;
Huang, Chong
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2019/09/24
global land cover dataset
spatial agreement
spatial variation in accuracy
Arctic
Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region
期刊论文
OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 12, 页码: 24
作者:
Liang, Li
;
Liu, Qingsheng
;
Liu, Gaohuan
;
Li, He
;
Huang, Chong
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/09/24
global land cover dataset
spatial agreement
spatial variation in accuracy
Arctic